Labor Does Not Have an Experience Problem
It has a systems problem, a data problem, and an imagination problem.
Part 2
It has a systems problem, a data problem, and an imagination problem.
Part Two
This article argues that labor’s biggest weakness is no longer just political hostility or employer aggression, but its failure to understand, organize, and weaponize its own intelligence. It begins by tearing into the lazy way unions talk about “data,” then draws a sharp distinction between membership numbers, bargaining patterns, employer behavior, and the real operational evidence hidden inside everyday workplace conflict. From there, it uses IATSE as a real-world case study to show what becomes possible when a union stops relying on memory, folklore, and institutional habit and starts treating its own history like infrastructure. But the piece does not stay inside one union or one industry. It expands into something much larger: a direct challenge to the labor movement’s legal assumptions, strategic complacency, and addiction to administrative thinking. What emerges is not just an argument about better recordkeeping. It is a case for building a completely different kind of labor institution, one capable of learning, adapting, and fighting with the same level of precision as the systems working against workers now.
Beyond The Workforce
Issue 26
By David Thomas Graves
Every show, every production, every wage fight, every side letter, every staffing dispute, every schedule problem, every classification mess, every implementation failure, every employer workaround, every safety issue, every technology fight creates data.
Real data.
Not consultant fog. Not another labor conference where everybody says “we need to modernize” and then goes home to the same broken operating model.
And this is where labor people get sloppy. They use the word “data” like it only means membership numbers or a spreadsheet someone never opens again. It does not. There is membership data, which tells you who your people are. There is bargaining data, which tells you what was fought over and what held. There is employer-behavior data, which tells you how management stalls, delays, evades, and exploits. There is implementation data, which tells you where agreements break once the press release is over. A serious institution does not blur those together. It builds around the difference.
I know what it looks like when you stop pretending memory is enough.
At my local, I was part of one of the early efforts inside the International Alliance of Theatrical Stage Employees to stop guessing and start mapping the membership through member-centered survey work. We wanted to know who our members actually were, not who the folklore said they were. Crafts. Work patterns. Skill clusters. Participation. Drift. Strength. Weakness. If you do not know who your members are, how they actually work, and where the real skill clusters sit, you are not leading an institution. You are managing folklore.
That is why the 2023 International Alliance of Theatrical Stage Employees member census was such a revealing moment. The union itself called it a “critical initiative” to gather accurate, anonymized, aggregated, and up-to-date statistics about the membership across the United States and Canada. It said Cornell University’s Worker Institute would securely store the responses and analyze them as a neutral third party. Good. Necessary. Also overdue. That should tell you how underdeveloped serious data capacity still is across large parts of organized labor.
And membership data is just the shallow end of the pool.
The deeper asset is operational data.
The 2024 bargaining summaries already read like the rough draft of the labor movement’s future archive: side letters for new media, local and nearby hire rules, prep-time fights, production-center language, benefit-contribution structures, streaming-specific terms, and artificial-intelligence provisions covering consent, notice, and bargaining obligations. A serious institution would not treat those as isolated contract wins. It would tag them, compare them, study where they held, study where they failed, and turn them into reusable bargaining and enforcement tools.
This is where the cross-industry point becomes obvious.
A producer squeezing turnaround to save money is not morally different from a contractor squeezing prep time, a hotel manager gaming scheduling, or a warehouse operator stretching staffing to the edge. The business math changes by sector. The labor-control behaviors do not. Delay tactics travel. Ambiguity games travel. Classification games travel. Time-pressure tactics travel. Staffing manipulation travels. That is exactly why the lessons inside an International Alliance of Theatrical Stage Employees archive would be useful far beyond entertainment. The surface details change. The management logic underneath them does not.
That transfer is not theoretical.
A real data system built from this union’s history could produce negotiator training modules, searchable precedent logs, dispute playbooks, model clauses for unstable employer structures, employer behavior maps, and postmortem archives showing what tactics worked and what failed on contact with reality. Construction unions could use that. Hospitality unions could use that. Logistics unions could use that. Public-sector unions could adapt the structure even where the law differs. Nonunion organizers could use it too, because employers do not stop behaving like employers just because the industry changes.
The system problem is not just internal. It is also legal.
The National Labor Relations Board says the National Labor Relations Act excludes public-sector workers, agricultural workers, domestic workers, independent contractors, workers employed by a parent or spouse, employees covered by the Railway Labor Act, and supervisors. That is a legal framework built for a cleaner labor market than the one workers now live in. It is one more reason labor should be building its own intelligence systems instead of pretending the old framework is going to save it.
But bad law is only half the story.
The deeper problem is labor complacency.
Too many labor institutions have internalized administrative limitation as strategic common sense. They accept procedural slowdowns as normal. They treat a hostile framework like a natural law. They follow rules straight into decline and call it professionalism. They confuse legality with wisdom. They confuse compliance with competence.
Compliance is not innovation.
That is the second failure.
© David Thomas Graves 2026